Crowd Real Time Video Classification, Count and Flow
The need for smart surveillance systems is ever growing in the present days, involved in purposes such as security and marketing to track the movements of different classes of people. Our project in computer vision with deep learning is focussed on segregating the gender composition of people, wh...
Saved in:
| Main Author: | Wee, Joel Hong Shen |
|---|---|
| Format: | Final Year Project |
| Language: | English |
| Institution: | Universiti Teknologi Petronas |
| Record Id / ISBN-0: | utp-utpedia.23053 / |
| Published: |
Universiti Teknologi PETRONAS
2020
|
| Subjects: | |
| Online Access: |
http://utpedia.utp.edu.my/23053/1/FYP2%20Dissertation.pdf http://utpedia.utp.edu.my/23053/ |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
REAL-TIME ILLUMINATION COMPENSATION ON DYNAMIC BACKGROUND FOR CROWD ANALYTIC SURVEILLANCE
by: MOHAMED AMEEN MASHOOD, MOHAMED ABUL HASSAN
Published: (2014) -
REAL-TIME HORN-SCHUNCK OPTICAL FLOW HARDWARE ARCHITECTURE FOR HIGH ACCURACY MOTION ESTIMATION
by: RUZALI, RUZALI
Published: (2012) -
A COMBINED HISTOGRAM OF ORIENTED GRADIENTS AND COMPLETED
LOCAL BINARY PATTERN METHODS FOR PEOPLE COUNTING IN A DENSE
CROWD SCENARIO
by: PARDIANSYAH, INDRATNO
Published: (2015) -
REAL TIME AGE INVARIANT FACE RECOGNITION
by: OSMAN ALI, AMAL SERALKHATEM
Published: (2015) -
DEVELOPMENT OF REAL TIME AIR QUALITY MONITORING SYSTEM
by: ZAINI, AHMAD AIDEED
Published: (2017)